International Conference on Advanced Computing, Communication and Networks - CCN 2011
Author(s) : SARIKA TALE, T.R.SONTAKKE
The analysis of heart rate variability (HRV) signal is an important tool for studying the autonomic nervous system. Heart disease occurs eventually in majority of patients with diabetes mellitus and to be the outstanding factor in over all diabetes morbidity and mortality rates. Thus the timely detection of diabetic autonomic neuropathy and the use of effective means to improve autonomic nervous system function become of almost significance. In this work Electrocardiogram (ECG) data of 20 Diabetes Mellitus (DM) and 20 normal control volunteers were recorded and autonomic nervous system activities are quantified by means of frequency and time domain analysis. Time domain measure ,Standard deviation of successive NN intervals (SDNN),NN intervals differing more than 50 msec.( NN50 count),Percentage value of NN50 count( pNN50 count), HRV triangular index, show a lower variation in the DM patient group compared to normal subjects and p value <0.01. The frequency domain measures indicate significant differences in very low frequency (VLF), low frequency (LF) power and high frequency (HF) power. Value generated from the ratio of low frequency to high frequency, (LF/HF) is pretty high, with not much significance between both groups.